The Defense Acquisition University (DAU) is a corporate training organization that provides learning and development solutions to over 174,000 acquisition, requirements and contingency professionals in the US Department of Defense. DAU seeks to transform its traditional learning processes and capabilities to an adaptive environment that responds, in real time, to learner needs. The goal of this AI-Powered/AL prototype project effort is to leverage a variety of commercial out-of-the box (OOB), non-developmental, or open source software solution products to develop a prototype solution that will incorporate unique and innovative AL technologies that use AI to improve learning effectiveness/efficiency and increase learner perceptions of mastery and self-efficacy. This prototype project is unclassified.
The AI-Powered/AL prototype solution will demonstrate proof of concept for AI technologies that affect training efficiency and effectiveness for human centered design practices. Improved learning mastery will directly improve the efficiency and effectiveness of defense acquisition efforts and increase Warfighter readiness.
DAU will conduct the AI-Powered/AL prototype project in phases focusing on pilots from multiple vendors who demonstrate the capability and applicability of innovative AL technologies that use AI to improve learning effectiveness/efficiency and increase learner perceptions of mastery and self-efficacy.
To conduct the prototype pilot(s), vendors will be required to port DAU courseware onto their proposed platform(s) to produce an executable course/module. Students will take DAU supplied courses on the vendor platform(s). Successful prototype pilot completion is the execution of DAU furnished courseware running on the vendor’s platform accessed by a test group of up to 75 students. Each prototype pilot assessment will be conducted with up to 75 students selected by DAU over a period of approximately 14-days, supplemented by a three (3) to five (5) page pilot data analysis report, (provided in electronic format), of individual student performance and data aggregates of learning.
The estimated ceiling amount should be $414,000.
RFS-DAU AI-AL Project Prototype_1_9_20
Attachment 1_Security Process for Vendor Vetting
Att 2 Data Rights Assertions Tables
Att 3 Data Rights License Terms Definitions
Att 4 Terms and Conditions and EULA
Att 5 DAU_GFI__Tech_Data_Distribution_Agreement
Question Deadline: 12 PM EST on January 24, 2020
Proposal Deadline: 12 PM EST on February 10, 2020
Click the following hyperlinked text to view and download the Coming Soon notice.
DAU AI AL Coming Soon Notice 11.25.19